At a Glance
- Tasks: Lead data science projects and set technical standards for the team.
- Company: Join an iconic UK brand on a transformative data journey.
- Benefits: Competitive salary, bonus, and opportunities for professional growth.
- Other info: Support junior team members and thrive in a collaborative environment.
- Why this job: Make a real impact by predicting and interpreting business trends.
- Qualifications: Experience in SQL, Python, and cloud computing, with mentoring skills.
The predicted salary is between 68000 - 102000 £ per year.
Data Idols are proud to be working with an iconic UK brand to assist them in building out their data team as they undertake a data-driven journey that will transform the business.
This opportunity for a Senior Data Scientist will focus on setting technical standards and leadership. You will work on a variety of projects focused on delivering high quality data science to predict, measure and interpret business trends and commercial impact.
Within this role, they are looking for someone who is able to coach and support junior members of the team and help contribute to their development.
Skills and Experience:
- SQL
- Python
- Experience with Cloud computing, preferably Azure
- Experience working in a production environment deploying and maintaining models
- Strong stakeholder management
- Ability to mentor other members of the team
What’s in it for you?
£85K - £95K Bonus
Please send your CV for more information.
Senior Data Scientist employer: Data Science Festival
At Data Idols, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. Our hybrid working model in London allows for flexibility while you contribute to a cutting-edge AI-powered platform, with ample opportunities for professional growth and influence over key architectural decisions. Join us to be part of a high-performing engineering team where your expertise will directly impact the future of technology in a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Scientist
✨Tip Number 1
Network like a pro! Reach out to your connections in the data science field and let them know you're on the lookout for opportunities. You never know who might have a lead or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving SQL, Python, and cloud computing. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you've mentored others and managed stakeholders in past roles – these are key for a Senior Data Scientist!
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find and apply for roles that match your skills. Plus, we love seeing familiar faces from our community!
We think you need these skills to ace Senior Data Scientist
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your SQL and Python expertise, as well as any cloud computing experience you have, especially with Azure.
Showcase Leadership Skills:Since this role involves mentoring junior team members, don’t forget to include examples of your leadership experience. We want to see how you've coached others and contributed to their development.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to describe your past projects and how they relate to predicting and interpreting business trends. We appreciate brevity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity with an iconic UK brand.
How to prepare for a job interview at Data Science Festival
✨Know Your Data Science Stuff
Make sure you brush up on your SQL and Python skills before the interview. Be ready to discuss your experience with cloud computing, especially Azure, and how you've deployed and maintained models in a production environment. They’ll want to see that you can not only talk the talk but also walk the walk!
✨Show Off Your Leadership Skills
Since this role involves setting technical standards and mentoring junior team members, be prepared to share examples of how you've led projects or coached others in the past. Think about specific situations where your guidance made a difference and how you can bring that same energy to their team.
✨Understand the Business Impact
This position is all about predicting and interpreting business trends. Do your homework on the company and its industry. Be ready to discuss how your data science work can directly impact their commercial goals. Showing that you understand the bigger picture will set you apart from other candidates.
✨Engage with Stakeholders
Strong stakeholder management is key for this role. Prepare to talk about your experiences working with different teams and how you’ve communicated complex data insights to non-technical stakeholders. Demonstrating your ability to bridge the gap between data science and business will make a great impression.
